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http://science.ijournals.cn/jsunature_cn/ch/reader/view_abstract.aspx?file_no=B230035&flag=1

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收稿日期:          年卷(期)页码:2020,61(1):016004-

期刊名称:四川大学学报: 自然科学版

Journal Name:Journal of Sichuan University (Natural Science Edition)

关键字:http://science.ijournals.cn/jsunature_cn/ch/reader/view_abstract.aspx?file_no=B230035&flag=1

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Abstract:Blue Green Infrastructure (BGI) is an important tool to achieve the strategic goal of climate change adaptation. The purpose of studying the spatial relationship between BGI landscape pattern and function is to provide a basis for urban climate adaptability construction. Taking the Sichuan Tianfu New Area (including the coordinated control area) as an example, based on remote sensing image data and from the perspective of climate adaptability, the BGI multi-function evaluation and spatial differentiation feature analysis were carried out, and further revealed the main driving factors and driving mechanism of landscape pattern of BGI multi-function by using geographical detectors. The results showed that: (1) The overall multifunction level showed a decreasing trend from Longquan Mountain to the east and west sides, with high-service functions concentrated in the Longquan Mountains, Pengzu Mountain Scenic Area and coordinated control area in the southeast direction of Sancha Lake Scenic Area. (2) The overall spatial distribution pattern of the multi-function level showed a significant spatial positive autocorrelation relationship, with significant high (HH), low (LL), and high (HL) clustering characteristics. (3) Landscape composition type, network structure element type, patch density index (PD) and area weight average shape index (AWMSI) were the main driving factors for spatial differentiation of multi-function; landscape composition type and network structure element type were the main interactive driving factors for spatial differentiation of multi-function. The study has identified the driving mechanism of landscape pattern on the spatial differentiation of BGI multi-function, which can be used to guide the construction of urban climate adaptability in the study area.

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